6 Challenges Health Care Executives Face with Data Governance

Little Trust in Resulting Data

A common theme with many data governance programs is the resulting data becoming inconsistent, inaccurate and having questionable outliers. Since health care information is recorded across many platforms and technologies — such as stand-alone, siloed databases, large multi-purpose EHRs, and mobile and handheld technology — producing and maintaining one version of the truth can become even more complicated. Because of this, health care executives see this unstandardized data and are often left questioning whether the information is in fact accurate. In order to find the truth, a data governance program must control and dictate the data integration policies for the whole health care organization.

Over the last few months, data governance has become a buzzword in the health care industry. As companies realize the importance of Big Data, they are also beginning to realize the necessity of implementing a data governance strategy. While a system that helps organize, protect and give meaning to data seems like a no-brainer, implementing an effective data governance strategy can prove to be challenging...especially for an industry as complex as health care.

In this slideshow, Dimensional Insight, the 2015/2016 "Best in KLAS" business intelligence/analytics provider, highlights six common challenges health care executives experience when it comes to data governance and how they can overcome them.